Senior Data Engineer
il y a 6 jours
We are seeking a highly skilled Senior Data Engineer to join our Process Innovation team at Verkor's Innovation Center in Grenoble, France.
As a Senior Data Engineer, you will be responsible for developing innovative solutions based on cutting-edge technologies and solving practical problems. Your main work will be to understand the cases and do investigations with versatile resources, then turn the solution and technology from either a lab or concept to real production with support from supervisors.
You will mainly focus on quality, efficiency, and unmanned topics to make Verkor a strong, competitive battery manufacturer.
Main responsibilities- 1. Identify the problem, simplify it, and summarize it into an engineering model with support from experts.
- Recognize the problem beneath phenomena;
- Understand causal relationship and other priori knowledge related to the scenario;
- Breakdown problems into potential solvable tasks;
- 2. Define requirements, and investigate potential solutions.
- Clarify goals for each task;
- Develop roadmap of whole solution;
- Research available approaches and classify technical routes;
- Analysis risks and ROI;
- 3. Design and validate
- Propose concepts, drawing a whole solution;
- Provide DoE of your design;
- Select required components and software, etc.;
- Initiate purchase or self-develop for core functionalities;
- Verify feasibility and offer deployable solution for production lines.
- 4. Report and support
- Report progress and results of the studies to other Verkor departments.
- Bachelor or Master's degree in Computer Science, AI, or similar discipline
- Minimum of 5 years experience, including 3 years minimum of experience working with AI and innovation projects in an industrial company. Experience related to batteries is more preferred.
- Experience in Agile based software development is required
- Mandatory knowledge on SQL, MySQL databases
- All necessary techniques for data mining is required, such as data extraction, feature engineering, etc.
- Proficiency in machine learning techniques is required; DL&RL is a plus
- Strong knowledge on Scikit-learn, Pandas, and familiarity with at least one DL frameworks such as PyTorch, Keras, etc.
- R, & Matlab knowledge
- Strong knowledge on Python, C++
- Knowledge on time series forecasting techniques
- Good learning skills
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